Level

Renault Group

NGAS AR/VR Digital Content Developer_Senior Engineer

AI in this role

Senior AR/VR developer and machine learning engineer building immersive simulation environments and computer vision models.

pytorchtensorflowscikit-learnkerasc-sharpc-plus-pluspythonunityunreal-enginearcorearkitopencv+3
computer-visionar-vrmachine-learningsensor-fusiondeep-learning

Company

RNTBCI PL

Job Description

"1. Proficiency in building AR/VR models for production environments along with aftersales wiring diagram intrpretation skill.
2. Advanced skills in C#, C++, and Python development.
3. Strong knowledge of AR/VR platforms like Unity and Unreal Engine with the capability of servicing the vehicle.
4. Experience with AR frameworks such as ARCore &ARKit
5. Knowledge of sensor fusion techniques for integrating data from multiple sensors
6. Experience in developing Unity-based computer vision (CV) and machine learning (ML) models
7. Hands-on experience with integrating sensor data for AR/VR systems.
8. Proficiency in Python for machine learning and writing production-grade code.
9.Machine Learning & AI: Advanced understanding of supervised, unsupervised, and reinforcement learning. Familiarity with deep learning frameworks such as OpenCV, TensorFlow/Keras/PyTorch, Scikit-Learn, Matplotlib, Pandas, NumPy."

Job Family

After Sales

Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves.  
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How we rate this

NGAS AR/VR Digital Content Developer_Senior Engineer at Renault Group rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer visionAr VrMachine learningSensor FusionDeep learningPyTorchTensorFlowscikit-learn

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. Tell me about a project where ar vr was part of your work. What did you do?
  3. Tell me about a project where machine learning was part of your work. What did you do?
  4. Tell me about a project where sensor fusion was part of your work. What did you do?
  5. Tell me about a project where deep learning was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Computer vision, Ar Vr, Machine learning, Sensor Fusion, and Deep learning. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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